✯Developed a comprehensive muon track reconstruction software utilizing Python and PyQt5, enabling simulation of up to 100+ drift tubes simultaneously.

✯Implemented real-time simulation and auto-calibration of muon interactions with configurable drift tube arrays such stacks, rows, columns.

✯Created an auto-calibration feature that reduces least squares error by up to 99.99%, optimizing measured data against true values.

✯Designed an intuitive user interface with interactive visualization tools and 6 debugging options, enhancing data analysis capabilities.

✯Integrated a Flask API for displaying random muon facts, demonstrating full-stack development skills and improving user engagement.